Coupled Oscillator: horizontal Mass-Spring: Difference between revisions

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0 \\
0 \\
0
0
\end{bmatrix}</math>
== Matrix Exponential ==
In this section we will use matrix exponentials to solve the same problem. First we start with this identity.
:<math>z=Tx\,</math>

This can be rearranged by multiplying the inverse of T to the left side of the equation.
:<math>T^{-1}z=x\,</math>

Now we can use another identity that we already know
:<math>\dot{x}=Ax</math>

Combining the two equations we then get
:<math>T^{-1}\dot{z}=AT^{-1}z</math>

Multiplying both sides of the equation on the left by T we get
:<math>\dot{z}=TAT^{-1}z</math>




We also know what T equals and we can solve it for our case
:<math>T^{-1}=[k_1|k_2|k_3|k_4]\,</math>
:<math>T^{-1}=\begin{bmatrix}
0.2149i & -0.2149i & -0.3500i & 0.3500i \\
-0.5722 & -0.5722 & 0.4157 & 0.4157 \\
-0.2783i & 0.2783i & -0.5407i & 0.5407i \\
0.7409 & 0.7409 & 0.6421 & 0.6421
\end{bmatrix}</math>

Taking the inverse of this we can solve for T
:<math>T=\begin{bmatrix}
-1.2657i & -0.4753 & 0.8193i & 0.3077 \\
1.2657i & -0.4753 & -0.8193i & 0.3077 \\
0.6514i & 0.5484 & 0.5031i & 0.4236 \\
-0.6514i & 0.5484 & -0.5031 & 0.4236
\end{bmatrix}</math>
\end{bmatrix}</math>

Revision as of 13:57, 10 December 2009

Problem Statement

Write up on the Wiki a solution of a coupled oscillator problem like the coupled pendulum. Use State Space methods. Describe the eigenmodes and eigenvectors of the system.

 Horizontal spring.jpg

Initial Conditions:

Equations for M_1

Equations for M_2

Additional Equations

State Equations

=

With the numbers...


=

Eigen Values

Once you have your equations of equilibrium in matrix form you can plug them into a calculator or a computer program that will give you the eigen values automatically. This saves you a lot of hand work. Here's what you should come up with for this particular problem given these initial conditions.

Given

We now have

From this we get

Eigen Vectors

Using the equation above and the same given conditions we can plug everything to a calculator or computer program like MATLAB and get the eigen vectors which we will denote as .

Matrix Exponential

In this section we will use matrix exponentials to solve the same problem. First we start with this identity.

This can be rearranged by multiplying the inverse of T to the left side of the equation.

Now we can use another identity that we already know

Combining the two equations we then get

Multiplying both sides of the equation on the left by T we get



We also know what T equals and we can solve it for our case

Taking the inverse of this we can solve for T